Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam

Detalhes bibliográficos
Autor(a) principal: Dinh,T. K. H.
Data de Publicação: 2022
Outros Autores: Dang,T. A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000500348
Resumo: ABSTRACT In recent decades, the rice cultivation regions in the Mekong Delta have continuously suffered from unprecedented weather events due to a decline in rainfall as part of climate variability. The aim of this study was to perform a comprehensive exploration of the rainfall characteristics across the area, applying the Rainfall Anomaly Index (RAI), Spearman Rho test and Sen slope estimator to help track the weather as well as provide warnings on the potential risks caused by alterations in rainfall amounts. For this goal, the rainfall data sequences at 14 national observation stations across the Mekong Delta were collected for the 1984 - 2019 period. Results indicated that the dry weather seasons occurred more frequently during the normally wet weather seasons. Four typical dry weather seasons were identified for the 1997 - 1998, 2002 - 2004, 2014 - 2016, and 2018 - 2019 periods. Among these, the 2014 - 2016 period was the driest, with 9 out of 12 stations in the area being extremely dry and RAI risk peaks as high as -4.86 at the Moc Hoa station in the province of Long An. A weather trend of decreasing rainfall was evident, mainly in the coastal sub-regions. The discovery of changing rainfall trends is valuable for predicting future climate variability.
id UFCG-1_78885abca58f0170de6ba0075cece538
oai_identifier_str oai:scielo:S1415-43662022000500348
network_acronym_str UFCG-1
network_name_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository_id_str
spelling Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnamclimate changeRAISpearman Rho testsweather seasonsABSTRACT In recent decades, the rice cultivation regions in the Mekong Delta have continuously suffered from unprecedented weather events due to a decline in rainfall as part of climate variability. The aim of this study was to perform a comprehensive exploration of the rainfall characteristics across the area, applying the Rainfall Anomaly Index (RAI), Spearman Rho test and Sen slope estimator to help track the weather as well as provide warnings on the potential risks caused by alterations in rainfall amounts. For this goal, the rainfall data sequences at 14 national observation stations across the Mekong Delta were collected for the 1984 - 2019 period. Results indicated that the dry weather seasons occurred more frequently during the normally wet weather seasons. Four typical dry weather seasons were identified for the 1997 - 1998, 2002 - 2004, 2014 - 2016, and 2018 - 2019 periods. Among these, the 2014 - 2016 period was the driest, with 9 out of 12 stations in the area being extremely dry and RAI risk peaks as high as -4.86 at the Moc Hoa station in the province of Long An. A weather trend of decreasing rainfall was evident, mainly in the coastal sub-regions. The discovery of changing rainfall trends is valuable for predicting future climate variability.Departamento de Engenharia Agrícola - UFCG2022-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000500348Revista Brasileira de Engenharia Agrícola e Ambiental v.26 n.5 2022reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v26n5p348-355info:eu-repo/semantics/openAccessDinh,T. K. H.Dang,T. A.eng2022-02-18T00:00:00Zoai:scielo:S1415-43662022000500348Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2022-02-18T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
title Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
spellingShingle Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
Dinh,T. K. H.
climate change
RAI
Spearman Rho tests
weather seasons
title_short Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
title_full Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
title_fullStr Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
title_full_unstemmed Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
title_sort Potential risks of climate variability on rice cultivation regions in the Mekong Delta, Vietnam
author Dinh,T. K. H.
author_facet Dinh,T. K. H.
Dang,T. A.
author_role author
author2 Dang,T. A.
author2_role author
dc.contributor.author.fl_str_mv Dinh,T. K. H.
Dang,T. A.
dc.subject.por.fl_str_mv climate change
RAI
Spearman Rho tests
weather seasons
topic climate change
RAI
Spearman Rho tests
weather seasons
description ABSTRACT In recent decades, the rice cultivation regions in the Mekong Delta have continuously suffered from unprecedented weather events due to a decline in rainfall as part of climate variability. The aim of this study was to perform a comprehensive exploration of the rainfall characteristics across the area, applying the Rainfall Anomaly Index (RAI), Spearman Rho test and Sen slope estimator to help track the weather as well as provide warnings on the potential risks caused by alterations in rainfall amounts. For this goal, the rainfall data sequences at 14 national observation stations across the Mekong Delta were collected for the 1984 - 2019 period. Results indicated that the dry weather seasons occurred more frequently during the normally wet weather seasons. Four typical dry weather seasons were identified for the 1997 - 1998, 2002 - 2004, 2014 - 2016, and 2018 - 2019 periods. Among these, the 2014 - 2016 period was the driest, with 9 out of 12 stations in the area being extremely dry and RAI risk peaks as high as -4.86 at the Moc Hoa station in the province of Long An. A weather trend of decreasing rainfall was evident, mainly in the coastal sub-regions. The discovery of changing rainfall trends is valuable for predicting future climate variability.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000500348
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000500348
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v26n5p348-355
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.26 n.5 2022
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
instacron:UFCG
instname_str Universidade Federal de Campina Grande (UFCG)
instacron_str UFCG
institution UFCG
reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
repository.mail.fl_str_mv ||agriambi@agriambi.com.br
_version_ 1750297688324177920